Structured Datasets on Corporate Bonds, Executives, and Local Regulations

We produce structured data from unstructured sources to drive business analytics and academic research. The data is carefully annotated and normalized for easy integration with common data tools, including Pandas, Tableau, R and SAS. As scientists, we know about the importance of data interoperability. Each dataset includes multiple tailored identifiers and linking variables for connecting with external sources. If you need a custom dataset or additional variables in existing datasets, please use the form below to request tailored data.

Upcoming Datasets

Corporate Bonds Covenants

This dataset provides structured data on bond covenants for all publicly listed U.S. corporate bonds, filling a critical gap in financial databases where covenant details are often missing or available only as long textual descriptions. Bond covenants affect default risk, creditworthiness, and investor protection. The bond covenants dataset includes conditions found most important in academic finance research, enabling analysts to make more accurate estimates of risk exposures. Designed for integration with financial modeling tools, it supports bond pricing, credit risk assessment, and empirical research in corporate finance.

Download Data Dictionary [.CSV]

Last updated: Q1 2025 | Format: CSV

Executives Employment and Compensation Database

The database covers career trajectories, compensation structures, and professional networks of executives at publicly traded U.S. companies over the past 20 years, starting from functional and divisional managers. The list of variables includes education, roles in each company, tenure limits, salary, options, and incentive plans. The data is connected with outcomes of corresponding firms and divisons including main industry, stock returns, and revenue. This data simplifies both headhunting and the valuation of public companies based on their management team.

Download Data Dictionary [.XLSX]

Last updated: Q1 2025 | Formats: CSV, Parquette

Local Environmental Regulations

A structured dataset mapping environmental regulations at the county and municipal levels across the U.S., providing key insights for site selection, investment planning, and compliance risk assessment. Environmental regulations often serve as a barrier for investment in the US, and their large variation across localities can complicate the location choice. The list of variables covers EIA requirements, recycling mandates, maximum allowed discharge limits, wastewater treatment requirement, ozone attainment status, maximum allowed emissions, and others. By codifying these regulations, the dataset enables comparative analysis of regional policy stringency, helping businesses and policymakers navigate the complexities of environmental compliance and sustainable investment strategies.

Download Data Dictionary [.CSV]

Last updated: Q1 2025 | Format: CSV

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Frequently Asked Questions

How do we make sure that the data is accurate?

We use skilled human labor to collect training and validation sets against which we can check the quality of each dataset. We use training sets to optimize the data extraction pipeline to maximize precision. We then use the validation dataset to assess final quality, which we publish alongside the datasets.

How can I check the quality before purchase?

For each dataset you can request one random free sample not exceeding 50 different identifier values and not larger than 1% of the total dataset. We will pull the sample with all the listed variables from the dataset and provide for your evaluation before the purchase.

Can I receive a discount?

We provide free or discounted data to academic researchers and students. If you are non-eligible for the discount, you should request above a custom dataset version with more limited coverage.